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Record W2112082187 · doi:10.1136/ebn.7.4.128

Spouses of patients with coronary heart disease had varied perceptions about its aetiology and drug treatment

2004· letter· en· W2112082187 on OpenAlexaff
Patricia Caldwell

Bibliographic record

VenueEvidence-Based Nursing · 2004
Typeletter
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsConestoga College
Fundersnot available
KeywordsMedicineMyocardial infarctionInternal medicineEtiologyCoronary heart diseaseSecondary preventionDrug treatmentCardiologyPhysical therapy

Abstract

fetched live from OpenAlex

Kärner A, Dahlgren MA, Bergdahl B. Coronary heart disease: causes and drug treatment—spouses’ conceptions. J Clin Nurs 2004;13:167–76.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q What are the perceptions (or conceptions) of spouses of patients who have had a cardiac event regarding the causes of coronary heart disease (CHD) and effects of drug treatment? Qualitative study using an empirical and inductive approach. Norrköping and Jönköping in southeast Sweden. 25 spouses (mean age 55 y, 68% women) who were living with a partner who had had a cardiac event about 1 year earlier. 18 patients had had a myocardial infarction (MI), and 19 had received revascularisation. 12 spouses were working, 2 were unemployed, 10 were retired, and 1 was a student. Data were collected using semistructured interviews that lasted 60–90 minutes and focused on spouses’ conceptions about 5 domains related to possible causes of CHD: physical activity, diet, stress, smoking, and drug treatment. Conceptions concerning causes of CHD. All spouses regarded physical exercise as a positive factor in the rehabilitation of patients with CHD. However, most did not mention inactivity as a cause … [1]: {openurl}?query=rft.jtitle%253DJournal%2Bof%2Bclinical%2Bnursing%26rft.stitle%253DJ%2BClin%2BNurs%26rft.aulast%253DK%25C3%25A4rner%26rft.auinit1%253DA.%26rft.volume%253D13%26rft.issue%253D2%26rft.spage%253D167%26rft.epage%253D176%26rft.atitle%253DCoronary%2Bheart%2Bdisease%253A%2Bcauses%2Band%2Bdrug%2Btreatment--spouses%2527%2Bconceptions.%26rft_id%253Dinfo%253Adoi%252F10.1046%252Fj.1365-2702.2003.00871.x%26rft_id%253Dinfo%253Apmid%252F14723668%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1046/j.1365-2702.2003.00871.x&link_type=DOI [3]: /lookup/external-ref?access_num=14723668&link_type=MED&atom=%2Febnurs%2F7%2F4%2F128.1.atom [4]: /lookup/external-ref?access_num=000188224100006&link_type=ISI

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.332
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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